Üç Fazlı Asenkron Motor İçin Uzay Vektör Darbe Genişlik Modülasyonu Kullanan Yapay Sinir Ağı Temelli Adaptif Hız Kontrol Sistemi Tasarımı
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CitationKILIÇ ERDAL, ÖZÇALIK HASAN RIZA, SIT SAMI (2016). Artificial Neural Network Based Adaptive Speed Control System Design using Space Vector Pulse Width Modulation for Three-Phase Asynchronous Motor. Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 19(3), 24-32.
The widespread use of asynchronous motors in today's industry is due to their robustness, high efficiency and operational reliability. However, great difficulties due to the very complex and non-linear structure is experienced in controlling this motor. The recent advances in areas of microprocessors and power electronics, along with the new control strategies based on artificial intelligence has led asynchronous motors to be controlled more efficiently and reliably. Complex calculations such as coordinate transformations, field estimation algorithms and control algorithms used in the motor control can be easily done with digital signal processors which are powerful microcontrollers. As known, artificial neural networks which are among modern tools based on artificial intelligence are widely used for modeling and controlling nonlinear dynamical systems. In this study, a three-phase asynchronous motor speed control system was designed using a microcontroller labeled as dsPIC30F6010A. The rotor flux vector is estimated using the indirect field-oriented control technique, which is the most efficient scheme of vector control. The space vector pulse width modulation technique is used in the switching of the three-phase inverter. In order to improve the performance of the drive system, a speed control algorithm has been developed using a radial basis artificial neural network based model reference adaptive control method. The performance of the proposed control algorithm is experimentally tested by running the asynchronous motor under different speed and load conditions. The experimental results clearly demonstrate the success of the proposed control structure.